Autonomous AI agents that perform tasks independently
6Asmile
ITQA (Intelligent Traffic Question-Answering) 是一款专为交通法规咨询与智能出行规划打造的全栈 AI Agent 平台。 本项目突破了传统“知识库问答”的局限，采用目前业界前沿的 Hybrid RAG（混合检索增强生成） 结合 Native Tool Calling（原生函数调用 Agent） 架构。它不仅是一个能精准回答“GB 国标”与“交规法条”且零幻觉的法律顾问，还是一个能结合高德地图 API，为你提供实时路线、周边查询与天气播报的生活助理。
...moreNUS-Program-Verification
Agentic Theorem Prover for Rocq for Program Verification
hay-chat
AI-powered customer support platform. Automate conversations with configurable AI agents, train them on your knowledge base, and integrate with your existing tools. All from a single dashboard.
...moreIamsdt
Open source AI voice calling agent for Twilio phone calls, built with FastAPI, Google ADK, and Gemini Live API
Persistent temporal memory layer for LLM conversational agents
Enterprise LLM agent control plane SDK for routing, caching, and observability
Local-first context & memory runtime for multi-agent AI coding teams
Patrick Josh Añedez
Orchestrator SQLite state layer MVP - Multi-agent orchestration framework for agentic AI systems
AI-Readiness Auditor: audit how well LLMs can work with a codebase
Pointer-based skill retrieval for LLM agents. Alternative to vector DB RAG.
LangChain integration for MAXIA — AI-to-AI Marketplace on 14 blockchains
Cross-framework debugger for multi-agent AI systems
Local-first AI agent observability for Ollama, LangChain, LangGraph & CrewAI
Ahmet Yigit Sertel
Lightweight long-term memory for LLM agents via vector-quantized routing
Real-time alignment observability for multi-agent reinforcement learning
Huaiyuan Yao, Wanpeng Xu, Justin Turnau, Nadia Kellam, Hua Wei
LLM Agents on Automated Course Material Generation for Teaching Faculties
AI browser agent that costs 50x less. DOM + OCR + Memory. Works with any LLM.
Oleksandr Tsepukh
Agent-native CLI for TickTick task management — full API coverage via V1 + V2
4-dimensional LLM inference benchmark — multi-turn, multi-agent, parallel dispatch with tool calling
Security middleware for Python LLM apps and services. Blocks prompt injection, masks PII, inspects outputs, and gates agent tools.
...moreOutcome-aware LLM routing for production AI agents. Routes between models, tools, and parameters based on real success signals using Thompson Sampling. Automatic fallback, cost optimization, and continuous learning — no redeploy required.
...moreAI governance guardrails for coding agents. Framework-aligned security and compliance patterns from NIST AI RMF, OWASP Top 10 for LLMs, and ISO/IEC 42001.
...moreAI-powered product development pipeline using Claude skills
LoongSuite Claude Agent SDK instrumentation